Azure Data Architect Manager

IN_Manager_Azure Data Architect_D&A_Advisory_Mumbai

Line of Service

Advisory

Industry/Sector

Not Applicable

Specialism

Data, Analytics & AI

Management Level

Manager

Job Description & Summary

At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth.

In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and implementing data pipelines, data integration, and data transformation solutions.*Why PWCAt PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us.At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm’s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations. 

Responsibilities:

• Requirement gathering and analysis
• Design of data architecture and data model to ingest data
• Experience with different databases like Synapse, SQL DB, Snowflake etc.
• Design and implement data pipelines using Azure Data Factory, Databricks, Synapse
• Create and manage Azure SQL Data Warehouses and Azure Cosmos DB databases
• Extract, transform, and load (ETL) data from various sources into Azure Data Lake Storage
• Implement data security and governance measures
• Monitor and optimize data pipelines for performance and efficiency
• Troubleshoot and resolve data engineering issues
• Hands on experience on Azure functions and other components like real time streaming etc
• Oversee Azure billing processes, conducting analyses to ensure cost-effectiveness and efficiency in data operations.
• Provide optimized solution for any problem related to data engineering
• Ability to work with verity of sources like Relational DB, API, File System, Realtime streams, CDC etc.
• Strong knowledge on Databricks, Delta tables

Mandatory Skill sets:

PySpark, SparkSQL, and Databricks on Azure

Preferred Skill sets:

Certification in Azure, Databricks or related Cloud technologies is a must

Years of Experience required

7 - 10 yrs

Education Qualification

Btech/MBA/MCA

Education (if blank, degree and/or field of study not specified)

Degrees/Field of Study required: MBA (Master of Business Administration)Degrees/Field of Study preferred: Bachelor of Engineering

Certifications (if blank, certifications not specified)

Required Skills

Microsoft Azure, PySpark

Optional Skills

Accepting Feedback, Accepting Feedback, Active Listening, Agile Scalability, Amazon Web Services (AWS), Analytical Thinking, Apache Airflow, Apache Hadoop, Azure Data Factory, Coaching and Feedback, Communication, Creativity, Data Anonymization, Data Architecture, Database Administration, Database Management System (DBMS), Database Optimization, Database Security Best Practices, Databricks Unified Data Analytics Platform, Data Engineering, Data Engineering Platforms, Data Infrastructure, Data Integration, Data Lake, Data Modeling {+ 32 more}

Desired Languages (If blank, desired languages not specified)

Travel Requirements

Available for Work Visa Sponsorship?

Government Clearance Required?

Job Posting End Date

Experience Level

Senior Level